ggtrans: 谷歌翻译

GITHUB

Gabegit/gmtools: My small tools for efficiency

R: 谷歌翻译
ggtransR Documentation
谷歌翻译

Gtab_normColNames_db: G表数据库名称

GITHUB

takewiki/lcrdspkg: package for LC RDS project

R: G表数据库名称
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

token_getOwnerName: 查询数据库名称

GITHUB

takewiki/tsda: data access and driver interface in takewiki solutions

R: 查询数据库名称
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

experiments/20180308_补缺失值和数据转置.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

title: "20180308_补缺失值和数据转置"
author: "王致远"
date: "2018年3月8日"

experiments/20180313_补缺失值和数据转置.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

title: "20180308_补缺失值和数据转置"
author: "王致远"
date: "2018年3月8日"

experiments/20171215_数据探索与回顾.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

library(plyr)
本实验主要任务在于:
**回顾贵阳大数据比赛所用的数据集，探索数据集构成。**

telegram: telegram.

CRAN

telegram: R Wrapper Around the Telegram Bot API

R: telegram.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

experiments/20180321_LOESS数据处理7.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

experiments/20180321_LOESS数据处理2.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

experiments/20180321_LOESS数据处理5.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

experiments/20180321_LOESS数据处理6.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

experiments/20180321_LOESS数据处理9.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

telegram: telegram.

GITHUB

lbraglia/telegram: R Wrapper Around the Telegram Bot API

R: telegram.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

mrpt_HistoryData_ReadOne: 读取历史数据真实数据

GITHUB

takewiki/jlrdspkg: package for jlrds app

mrpt_HistoryData_ReadOne(
conn = tsda::conn_rds("jlrds"),
file_name = "data-raw/hist/01-美素大客户事业部2019历史管报数据_reviewed.xlsx

experiments/20180323_LOESS数据的新距离.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

title: "20180323_LOESS数据的新距离"
author: "wzy"
date: "2018年3月23日"

mtrl_genDataInput: 针对数据进行命名处理

GITHUB

takewiki/kdcmtrlpkg:

R: 针对数据进行命名处理
mtrl_genDataInputR Documentation
针对数据进行命名处理

df_columnName: 获取数据框的列名

GITHUB

takewiki/tsdo: data objects in takewiki solutions

R: 获取数据框的列名
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

experiments/20180321_LOESS数据处理10.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

experiments/20180321_LOESS数据处理8.Rmd:

GITHUB

ahorawzy/TFTSA: Traffic Flow Time Series Analysis

\\tmlallnew.csv",header=T)
dim(tmlallnew)
```{r}

csp_books.update.callback2: 数据

GITHUB

takewiki/csppkg: package for csp app

R: 数据
csp_books.update.callback2R Documentation
数据